Results 31 to 40 of about 687 (114)
A Deep Learning‐Aided Detection Method for FTN‐Based NOMA
Wireless Communications and Mobile Computing, Volume 2020, Issue 1, 2020., 2020 The rapid booming of future smart city applications and Internet of things (IoT) has raised higher demands on the next‐generation radio access technologies with respect to connection density, spectral efficiency (SE), transmission accuracy, and detection latency.
Jianxiong Pan +4 more
wiley +1 more source
IEEE Access, 2017 This paper deals with low-complexity joint channel estimation and decoding for faster-than-Nyquist (FTN) signaling over frequency selective fading channels.
Nan Wu +3 more
doaj +1 more source
On coding for Faster-Than-Nyquist signaling [PDF]
, 2015 In this paper, we study the design of sparse graph based codes for Faster-Than-Nyquist (FTN) signaling. Using an asymptotic approach based on EXIT charts, we show that good low-density parity check codes can be designed that perform well under iterative ...
Poulliat, Charly +7 more
core +2 more sources
On information rates for faster than Nyquist signaling [PDF]
, 2006 In this paper we consider the information rates of faster than Nyquist (FTN) signaling schemes. We consider binary, quaternary and octal schemes that use root raised cosine pulses. Lower and upper bounds to the information rates are given.
Fredrik Rusek +3 more
core +2 more sources
Faster-than-Nyquist signaling: value and challenges of 6G-oriented applications
Dianxin kexue, 2021 The faster-than-Nyquist (FTN) signaling technology overlaps multiple streams of data within a symbol period by compressing the transmit symbol time/frequency-domain interval, thus breaking the orthogonality of the Nyquist pulse waveform and achieving the
Xin SU +4 more
doaj +2 more sources
Robust Estimators for Faster-Than-Nyquist Signaling
IEEE Access, 2022 Novel, robust, and computationally attractive non-data-aided (NDA) and data-aided (DA) single and joint parameter estimators for faster-than-Nyquist (FTN) signaling are presented.
Zouhir Bahri
doaj +1 more source
IEEE Access, 2020 This study measured the achievable performance of the recently developed precoded faster-than-Nyquist (FTN) signaling scheme with truncated power allocation from an information-theoretic perspective.
Keita Masaki +2 more
doaj +1 more source
Advanced Functional Materials, Volume 29, Issue 51, December 19, 2019., 2019 Cyanographene (G‐CN), a densely functionalized but conductive graphene derivative, bypasses the need for aqueous electrolytes and for high areal‐mass current collectors, and also overcomes previous synthetic limitations toward seamless organic/inorganic hybrids for supercapacitors.
Smita V. Talande +5 more
wiley +1 more source
Low Complexity Message Passing Receiver for Faster-Than-Nyquist Signaling in Nonlinear Channels
IEEE Access, 2018 The modern and future communication systems demand higher data rate exceeds current capabilities. Faster-than-Nyquist (FTN) signaling is a promising technique for the reason it can improve the spectral efficiency.
Xiaojie Wen +4 more
doaj +1 more source
Non-binary and linear precoded faster-than-Nyquist signaling [PDF]
, 2008 Faster than Nyquist (FTN) signaling is an important method of narrowband coding. The concept is extended here to non binary signal constellations; these are much more bandwidth efficient than binary ones. A powerful method of finding the minimum distance
Anderson, John B, Rusek, Fredrik
core +2 more sources